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Fatemeh Bazikar
Observed name:
Bazikar, Fatemeh
Institution:
Alzahra University
Observed institutions:
Alzahra University,
University of Guilan
ORCID:
0000-0002-7497-935X
Observed ORCID:
0000-0002-7497-935X
OpenAlex ID:
A5001652617
DC programming and DCA for parametric-margin ν-support vector machine
2020
·
Fatemeh Bazikar
, Saeed Ketabchi
, et al.
·
Applied Intelligence
·
24
Multi-task twin support vector machine with Universum data
2024
·
Hossein Moosaei
, Fatemeh Bazikar
, et al.
·
Engineering Applications of Artificial Intelligence
·
21
PDF
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm
2021
·
Hossein Moosaei
, Fatemeh Bazikar
, et al.
·
Applied Intelligence
·
19
Sparse least-squares Universum twin bounded support vector machine with adaptive Lp -norms and feature selection
2024
·
Hossein Moosaei
, Fatemeh Bazikar
, et al.
·
Expert Systems with Applications
·
14
Solving linear multi-objective geometric programmingproblems via reference point approach
2014
·
Fatemeh Bazikar
, Mansour Saraj
·
6
An improved multi-task least squares twin support vector machine
2023
·
Hossein Moosaei
, Fatemeh Bazikar
, et al.
·
Annals of Mathematics and Artificial Intelligence
·
5
PDF
A Systematic Review on Optimization Approaches for Transformer and Large Language Models
2025
·
Atefeh Hemmati
, Fatemeh Bazikar
, et al.
·
4
PDF
Universum parametric $$\nu $$-support vector regression for binary classification problems with its applications
2023
·
Hossein Moosaei
, Fatemeh Bazikar
, et al.
·
Annals of Operations Research
·
4
PDF
Smooth augmented Lagrangian method for twin bounded support vector machine
2021
·
Fatemeh Bazikar
, Saeed Ketabchi
, et al.
·
Numerical Algebra Control and Optimization
·
2
Solving Linear Multi-Objective Geometric Programming Problems via Reference Point Approach (Menyelesaikan Masalah Linear Berbilang Objektif Geometri Pengaturcaraan melalui Pendekatan Titik Rujukan)
2014
·
Fatemeh Bazikar
, Mansour Saraj
·
2
A Novel Method for Solving Universum Twin Bounded Support Vector Machine in the Primal Space
2023
·
Hossein Moosaei
, Saeed Khosravi
, et al.
·
Annals of Mathematics and Artificial Intelligence
·
1
PDF
Pruning large language models: a systematic literature review
2026
·
Fatemeh Bazikar
, Atefeh Hemmati
, et al.
·
Knowledge and Information Systems
Long Short-Term Memory Networks (LSTMs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Multilayer Perceptrons (MLPs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Transformers
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Generative Adversarial Networks (GANs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Graph Neural Networks (GNNs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Radial Basis Function Networks (RBFNs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Neural Networks and Deep Learning
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Deep Belief Networks (DBNs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Optimization Techniques for Neural Networks
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Recurrent Neural Networks (RNNs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Optimization Techniques for Deep Learning: Improving Performance and Efficiency
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Convolutional Neural Networks (CNNs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
Self-Organizing Maps (SOMs)
2026
·
Atefeh Hemmati
, Amir Masoud Rahmani
, et al.
·
Springer optimization and its applications
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Works count:
31
Citation count:
103
H-index:
5
I10-index:
4
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